anti-cherry-pick
OfficialEnforce complete transparent reporting.
Education & Research#reporting#reproducibility#experiments#seeds#anti-cherry-pick#research-ethics#negative-results
AuthorEvoClaw
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Phase 4 reporting discipline activation ensures every seed, result, and failure is recorded and reported to prevent selective outcomes from skewing conclusions.
Core Features & Use Cases
- Mandatory reporting of all seeds, all results, and all failures with aggregated statistics (mean ± std or 95% CI) to avoid cherry-picking.
- Negative results are data and must be stored in docs/05_execution/negative-results.md; nothing is silently dropped or deleted.
- Fair baselines require equal compute budgets, data, preprocessing pipelines, and hyperparameter search budgets across methods.
- Equivalent access ensures all methods share the same pretrained models, data, and external resources.
- Gate-based discipline enforces full transparency across all datasets listed in the evaluation protocol.
Quick Start
Activate the Phase 4 reporting gates and begin recording all seeds, results, and failures immediately.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: anti-cherry-pick Download link: https://github.com/EvoClaw/amplify/archive/main.zip#anti-cherry-pick Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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